Nurrani, Hanny
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Design of VHF Directional Antenna on Class B Automatic Identification System (AIS) for Vessel Traffic Monitoring Supriyanto, Eko; Hasan, Abu; Bramantyo, Hutama Arif; Nurrani, Hanny
JAICT Vol. 8 No. 2 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i2.5017

Abstract

The majority of Automatic Identification System (AIS) equipment used on ships, harbormasters, and monitoring stations utilizes antennas that possess an omnidirectional beam pattern, covering all directions in a 360-degree range. One limitation inherent to omnidirectional antennas is their susceptibility to signal dispersion, resulting in suboptimal signal gain in certain directions. In the context of using omnidirectional antennas at Port AIS stations or other Monitoring Stations situated in expansive terrestrial regions, it is observed that the monitoring range is reduced. The objective of this study is to develop a prototype of a directional antenna capable of enhancing the monitoring range of ship traffic monitoring stations in alignment with the specific direction requested by land-based monitoring stations. The approach  being utilized  is the prototype method. This methodology encompasses the sequential steps of data collection, material and issue identification, planning, modeling, building, testing, and implementation.
Design of an Electrical Power Monitoring and Alert System Based on Internet of Things (IoT) for Chicken Coops Supriyanto, Eko; Hasan, Abu; Pramuji, Tulus; Nurrani, Hanny
JAICT Vol. 11 No. 02 (2025): JAICT
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

- The reliability of the electricity supply is a vital factor in ensuring the sustainability of modern poultry farming systems.Power outages or electrical disturbances can disrupt ventilation, heating, and lighting systems, resulting in decreased productivityon poultry farms. This study aims to design an Internet of Things (IoT)-based power supply detection and early warning system tomonitor electrical conditions in real-time and provide automatic notifications to farmers. The system was developed using aZMPT101B voltage sensor, an ACS712 current sensor, and a NodeMCU ESP8266 microcontroller, all of which are connected tothe Blynk platform for notification delivery. The research employed a prototyping approach, consisting of five stages: communication, planning, design, construction, and implementation. Testing was conducted in a closed poultry house located inWonolopo, Mijen, Semarang City. The results showed that the system was able to detect power disturbances with an accuracy rateof 97.6% and a notification response time of less than 3 seconds. The system proved effective in providing early warnings to farmers and enhancing the operational safety of electricity-based poultry farms.